activity
20242026
most citedPrompt engineering paradigms for medical applications: scoping review and recommendations for better practices

131 citations · 133 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Ontology-Based Post-Coordinated Expression Assembly: from Clinical Narrative to Queryable Knowledge Graphs

Johann Pignat, Christophe Gaudet-Blavignac, Julien Ehrsam +7

Clinical oncology documentation records decisive information in free text, where it remains readable but not retrievable at scale, leaving cohort identification dependent on incomp…

cs.CY2026

Evaluating Patient Safety Risks in Generative AI: Development and Validation of a FMECA Framework for Generated Clinical Content

Lydie Bednarczyk, Jamil Zaghir, Julien Ehrsam +11

Objectives: Large language models (LLMs) are increasingly used for clinical text summarization, yet structured methods to assess associated patient safety risks remain limited. Fai…

cs.CL2025

FRACCO: A gold-standard annotated corpus of oncological entities with ICD-O-3.1 normalisation

Johann Pignat, Milena Vucetic, Christophe Gaudet-Blavignac +8

Developing natural language processing tools for clinical text requires annotated datasets, yet French oncology resources remain scarce. We present FRACCO (FRench Annotated Corpus…

cs.CV2025

Tell me why: Visual foundation models as self-explainable classifiers

Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo +1

Visual foundation models (VFMs) have become increasingly popular due to their state-of-the-art performance. However, interpretability remains crucial for critical applications. In…

cs.CV2024★ 2 cited

ProtoS-ViT: Visual foundation models for sparse self-explainable classifications

Hugues Turbé, Mina Bjelogrlic, Gianmarco Mengaldo +1

Prototypical networks aim to build intrinsically explainable models based on the linear summation of concepts. Concepts are coherent entities that we, as humans, can recognize and…

cs.CL2024★ 131 cited

Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices

Jamil Zaghir, Marco Naguib, Mina Bjelogrlic +3

Prompt engineering is crucial for harnessing the potential of large language models (LLMs), especially in the medical domain where specialized terminology and phrasing is used. How…